| #️⃣ Hashtag and its id |
🏆 Rank and every list it holds (`lists`) |
📝 Posts in the period |
| 👀 Views in the period |
🏭 The hashtag's industries |
📈 Daily popularity curve (`trendData`) |
| 🧭 Direction, momentum, peak date, stage (`trendStats`) |
🌟 Top 3 creators with followers |
🔁 Previous rank, rank change, new entry |
| 🎬 Video id, caption, hashtags, mentions |
📊 Views, organic views, engagement, 6s view rate |
⏳ The same metrics over the video's lifetime |
| 👤 Creator handle, name, bio, followers |
🔗 Video page, MP4 and cover links |
💬 Top comments (US videos, add-on) |
| 🏷️ Content tags |
🌍 Country and period (window dates) |
🕒 When it was read |
On the 27-market hashtag run (1,398 rows) posts, views, the curve and trend stats were filled on 100% of rows, industries on 98.6% and top creators on 99.9% (3 per hashtag).
### How to scrape TikTok trends with TikTok Creative Center Scraper
1. [Create a free Apify account](https://console.apify.com/sign-up) — $5 of monthly credit, no card needed.
2. Open [TikTok Creative Center Scraper](https://apify.com/TopApi/tiktok-creative-center-scraper) and click **Try for free**.
3. Pick **Trends to read** (hashtags, videos or both) and the **Countries**.
4. Choose the **Hashtag period** and **Video period**, and set **Max results**.
5. Click **Start**. Rows stream into the dataset as each country and period is read.
6. Open the **Storage** tab and **Export** as JSON, CSV or Excel — or let a schedule run it for you.
### ⬇️ Input
| Parameter | Type | Description |
|---|---|---|
| **🔍 What to scrape** | | |
| `sections` | List | `hashtags`, `videos` or both. Default: `["hashtags"]` |
| `countries` | List | Markets, e.g. `["US", "GB"]`, or `["ALL"]`. Hashtags: 27 markets. Videos: US, JP, VN, TH, ID. Default: `["US"]` |
| `startUrls` | List | Creative Center trend links; each link is read with its own tab, country and period (the three fields above are then not used) |
| **🎯 Filters** (TikTok's lists) | | |
| `periods` | List | Hashtag windows `7`, `30`, `90` (days). Default: `["7"]` |
| `industries` | List | `overall` and/or industry ids. Empty = the overall list plus all 19 industries |
| `videoPeriods` | List | `last_7_days`, `last_30_days`, `weekly`, `monthly`. Default: `["last_7_days"]` |
| `videoSortBy` | List | `views`, `engagement_rate`, `six_second_view_rate`. Empty = all three |
| `videoContentTags` | List | `all` and/or content tag ids. Empty = all content plus the 13 tags |
| `videoOrganic` | Select | `both`, `all_views` or `organic_only`. Default: `both` |
| `snapshotsBack` | Integer | Weekly / monthly only: also read this many earlier rankings. Default: `0` |
| `snapshotDates` | List | Weekly / monthly only: the rankings that hold these dates (`YYYY-MM-DD`) |
| **✂️ Refine results** (before any charge) | | |
| `hashtags` | List | Keep only these hashtags (`#skincare`, `skincare`, a tiktok.com/tag/ link) |
| `keywords` / `excludeKeywords` | List | Keep / drop rows whose hashtag, caption or creator contains a word |
| `minPosts`, `minViews`, `minFollowers` | Integer | Lower bounds on posts (hashtags), views, creator followers (videos) |
| `onlyRising` | Boolean | Hashtags whose curve goes up. Default: `false` |
| `createdAfter` | Date | Videos posted on or after a date or a relative time (`3 days`) |
| **➕ Extra data** | | |
| `includeVideoDetails` | Boolean | Top comments and the creator's store region — charged as **video-details** at $0.0009 per video that gets them (US videos) |
| **🔁 Monitoring** | | |
| `monitorMode` | Boolean | Only hashtags / videos this task has not delivered before. Pair with a daily schedule |
| `trackChanges` | Boolean | Fill `previousRank`, `rankChange`, `isNew`, `firstSeenAt` from the task's previous run |
| `monitorStoreName` | String | Name of the memory (one per task) |
| **📦 Output** | | |
| `maxResults` | Integer | Most charged rows per run. Default `100`; `0` = no cap |
| `maxResultsPerCountry` | Integer | Most rows per section, country and period (best-ranked first). `0` = no cap |
| `sortBy` | Select | `rank`, `views` or `posts` — the order inside each country and period |
| `compact` | Boolean | Core fields only, for sheets, AI agents and MCP |
| **⚙️ Advanced** | | |
| `proxyConfiguration` | Proxy | Optional; the actor starts direct and moves to Apify proxies by itself |
| `maxConcurrency` | Integer | Parallel requests. Default `6` |
The actor also accepts the input names other Creative Center actors use (`countryCode`, `region`, `period`, `days`, `timePeriod`, `industryId`, `maxHashtags`, `maxItems`, `trendTypes`, `videoContentTags`, `videoOrganicOnly`, `weeksBack`, `videoSnapshots`, `onlyNew` and more), so a saved input moves over as is.
#### Input JSON
```json
{
"sections": ["hashtags", "videos"],
"countries": ["US", "GB", "JP"],
"periods": ["7", "30"],
"videoPeriods": ["weekly"],
"snapshotsBack": 4,
"trackChanges": true,
"monitorStoreName": "tiktok-trends-weekly",
"maxResults": 1000
}
```
#### Leave the industry and tag lists empty for the most rows
Each industry and content tag is its own list of 3 hashtags or 4 videos, so the empty default (every list) is what gives about 52 hashtags and 116 videos per country and period. **Do:** leave `industries` empty and filter with `keywords`. **Don't:** pick one industry and expect 50 rows — one list holds 3.
#### Videos are ranked in five markets only
TikTok ranks videos in the US, Japan, Vietnam, Thailand and Indonesia. Asking for videos in another market skips it and says so in the run status; hashtags work in all 27 markets.
#### Use the weekly and monthly rankings for history
`last_7_days` and `last_30_days` move every day and have no history. **Do:** `"videoPeriods": ["weekly"], "snapshotsBack": 12` for the last 13 weekly rankings. **Don't:** combine `snapshotsBack` with `last_7_days` only (nothing extra is read).
### ⬆️ Output
Every hashtag or video becomes one dataset item; `section` says which. The dataset has two views, **Hashtags** and **Videos**. A hashtag row from a US / 7-day run (curve and creators shortened to one entry each; `lists` shows it is #2 overall and #1 in Games):
```json
{
"section": "hashtag",
"rank": 2,
"overallRank": 2,
"bestListRank": 1,
"lists": [{ "list": "Overall", "industryId": null, "rank": 2 }, { "list": "Games", "industryId": "25000000000", "rank": 1 }],
"hashtag": "marvelrivalsavengers",
"hashtagId": "7462773581512966150",
"tiktokUrl": "https://www.tiktok.com/tag/marvelrivalsavengers",
"posts": 110088,
"videoViews": 24120743,
"industries": ["Games"],
"trendData": [{ "date": "2026-10-09", "value": 95.54 }, { "date": "2026-10-10", "value": 100 }],
"trendStats": { "direction": "down", "momentumPct": -71.6, "peakDate": "2026-10-10", "peakValue": 100, "latestValue": 25.89, "averageValue": 39.92, "stage": "declining" },
"topCreators": [{ "rank": 1, "userId": "7432779219689636907", "handle": "cinnavry", "followers": 7196, "countryCode": "US", "profileUrl": "https://www.tiktok.com/@cinnavry" }],
"countryCode": "US",
"country": "United States",
"period": 7
}
```
A video row from the same run (US, last 7 days; caption shortened):
```json
{
"section": "video",
"rank": 1,
"bestListRank": 1,
"videoId": "7693885184399150367",
"title": "#AveenoBabyPartner Better skin at night = better sleep for the whole family. 💤 If your baby has eczema, …",
"hashtags": ["AveenoBabyPartner", "ad"],
"mentions": ["aveenobabyus"],
"createdAt": "2026-10-07T11:24:42.000Z",
"videoUrl": "https://www.tiktok.com/@dr_mikem/video/7693885184399150367",
"contentTags": ["Family & Relationship"],
"videoViews": 11819715,
"organicVideoViews": 6204428,
"engagementRate": 0.00029755370582116404,
"sixSecondViewRate": 0.01087675816639692,
"authorHandle": "dr_mikem",
"authorName": "Dr. Mike Milobsky",
"authorFollowers": 385236,
"countryCode": "US",
"period": "last_7_days",
"periodStart": "2026-10-19",
"periodEnd": "2026-10-25"
}
```
#### Fields
| Field | Type | What it is | Fill |
|---|---|---|---|
| `rank` | integer | Position in the country & period's merged ranking (TikTok's overall top 3 first) | 100% |
| `overallRank` | integer | Rank in TikTok's overall hashtag list (only the top 3 have one) | 5.8% |
| `bestListRank` / `lists` | integer / array | Best rank in any list; every list and rank | 100% |
| `hashtag`, `hashtagId`, `tiktokUrl` | string | The hashtag, its id and tiktok.com page | 100% |
| `posts` / `videoViews` | integer | Posts and views in the period | 100% |
| `industries` / `industryIds` | array | The hashtag's own industries | 98.6% |
| `trendData` / `trendStats` | array / object | Daily curve (0-100) and the stats from it | 100% |
| `topCreators` | array | TikTok's top 3 creators for the hashtag | 99.9% |
| `videoId`, `title`, `createdAt`, `videoUrl` | string | The video, its caption, post time and page | 100% (title 99.2%) |
| `playUrl`, `coverUrl` | string | MP4 and cover links (signed, they expire) | 100% |
| `hashtags` / `mentions` | array | From the caption | 89.8% / 27.7% |
| `contentTags` / `contentTagIds` | array | TikTok's content tags | 90.6% |
| `organicVideoViews`, `engagementRate`, `sixSecondViewRate` (+ `…Lifetime`) | number | Video metrics for the period and lifetime | 100% |
| `authorHandle`, `authorName`, `authorFollowers`, `authorUrl`, `authorId`, `creatorId` | mixed | The creator | 100% (authorId 96.6%) |
| `authorBio` | string | The creator's bio as TikTok shows it | 98.0% |
| `topComments`, `topCommentsCount`, `authorStoreRegion`, `creatorType`, `detailStatus` | mixed | Video top comments add-on (US) | on rows that get it |
| `previousRank`, `rankChange`, `isNew`, `firstSeenAt` | mixed | Rank tracking (`trackChanges` / `monitorMode`, from the second run) | on tracked runs |
| `countryCode`, `country`, `period`, `periodStart`, `periodEnd`, `sourceUrl`, `scrapedAt` | string | Where and when | 100% |
Fill figures are from the 27-market hashtag run (1,398 rows) and the 5-market x 4-period video run (2,320 rows, 1,682 requests, 237 seconds).
### How can I use TikTok trends data?
- 📣 **Social media managers** — a daily sheet of what is trending in each market and industry, with the curve showing whether to jump on it now or skip it.
- 🏢 **Agencies** — per-client industry lists (Beauty, Games, Food & Beverage …) across countries, with the creators TikTok credits for each hashtag.
- 🎬 **Content and brand teams** — the top videos by views, engagement or 6-second retention, with captions and hashtags to brief creators from.
- 🔎 **Influencer scouts** — creators behind trending hashtags and videos, with followers and bios.
- 📈 **Trend analysts** — weekly and monthly video rankings back about a year, and rank changes between scheduled runs.
- 🤖 **AI and research teams** — compact rows (`compact`) for an LLM that writes the weekly trend report.
### How much does it cost to scrape TikTok trends?
TikTok Creative Center Scraper is pay-per-result: **$1.80 per 1,000 trending hashtags or videos**, no start fee. Video top comments are an add-on at **$0.90 per 1,000 videos** that get them. Filtered rows, rows a monitor run already delivered, and a video whose comments TikTok serves only to signed-in users cost nothing.
| Rows | Cost |
|---:|---:|
| 10 | $0.018 |
| 100 | $0.18 |
| 1,000 | $1.80 |
| 10,000 | $18.00 |
Apify platform usage is billed separately by Apify and is small: the 27-market hashtag run (1,398 rows, 540 requests) took 81 seconds on 256 MB and used $0.0032 of compute.
### Run it on a schedule
Save an input as a task, open **Schedules** and pick daily or weekly. Two switches make a schedule cheap:
- **Monitor mode** delivers only hashtags and videos this task has not delivered before, per country and period; the rest is not charged. A daily poll with nothing new costs a fraction of a cent of platform usage and no rows.
- **Track rank changes** keeps a memory per task (`monitorStoreName`) and fills `previousRank`, `rankChange` (positive = climbed), `isNew` and `firstSeenAt` on every row from the second run on.
```json
{
"sections": ["hashtags"],
"countries": ["US", "GB", "DE", "FR"],
"periods": ["7"],
"monitorMode": true,
"monitorStoreName": "tiktok-new-hashtags-eu-us",
"maxResults": 0
}
```
### Integrations, API & MCP
- **Webhooks:** fire a URL when a run finishes — push rows to your CRM, Slack or a sheet.
- **No-code:** Make, Zapier, n8n, Google Sheets, Airtable, Slack via [Apify integrations](https://docs.apify.com/integrations).
- **API:** call it from Node.js or Python with `apify-client` — code on the [API tab](https://apify.com/TopApi/tiktok-creative-center-scraper/api/python) and the [Apify API reference](https://docs.apify.com/api/v2).
- **MCP / AI agents:** connect Claude, Cursor or any MCP client through the [MCP tab](https://apify.com/TopApi/tiktok-creative-center-scraper/api/mcp) and ask for TikTok trends in plain language; `compact` keeps the rows short.
### More TikTok scrapers